Hardware Efficient Massive MIMO Systems with Optimal Antenna Selection.

Shenko Chura Aredo,Yihenew Wondie Marye,Kevin T Kornegay,Yalemzewd Negash,Feyisa Debo Diba,Hailu Belay Kassa

doi:10.3390/s22051743

Abstract

An increase in the number of transmit antennas (M) poses an equivalent rise in the number of Radio Frequency (RF) chains associated with each antenna element, particularly in digital beamforming. The chain exhibits a substantial amount of power consumption accordingly. Hence, to alleviate such problems, one of the potential solutions is to reduce the number of RFs or to minimize their power consumption. In this paper, low-resolution Digital to Analogue Conversion (DAC) and transmit antenna selection at the downlink are evaluated to favour reducing the total power consumption and achieving energy efficiency in mMIMO with reasonable complexity. Antenna selection and low-resolution DAC techniques are proposed to leverage massive MIMO systems in free space and Close In (CI) path-loss models. The simulation results show that the power consumption decreases with antenna selection and low-resolution DAC. Then, the system achieves more energy efficiency than without low-resolution of DAC and full array utilization.

Highlights

Massive MIMO is a large-scale MIMO device that is becoming more common in wireless communications and which scales up traditional MIMO by orders of magnitude [1]
Since beamforming is accomplished at the baseband frequency in digital [22], this paper aims to reduce power overheads in digital beamforming due to several Radio Frequency (RF) chain components, which account for a large amount of power consumption in cellular communication
We proposed adaptive transmit antenna selection strategies for downlink systems to minimize the power consumption of RF chain components associated with each antenna element

Summary

Introduction

Massive MIMO (mMIMO) is a large-scale MIMO device that is becoming more common in wireless communications and which scales up traditional MIMO by orders of magnitude [1]. It considers multi-user MIMO in which a base station has hundreds and thousands of antennas supporting multiple single-antenna terminals at the same time and frequency resources. A device with a large number of antenna elements increases the connection reliability, spectral quality, and radiated energy efficiency. The increase in the number of antennas and associated RF chains at the base station will result in physical restrictions, complexity, and expense [3].

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